Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
awesome-feature-engineering
A curated list of feature engineering techniques for image and text machine learning
https://github.com/xiaoganghan/awesome-feature-engineering
- mxnet
- Updated! My 99.40% solution to Udacity Nanodegree project P2 (Traffic Sign Classification)
- sample
- Traffic sign recognition with Torch
- The power of Spatial Transformer Networks
- sample
- Traffic signs classification with a convolutional network
- Traffic signs classification with a convolutional network
- input
- output
- Traffic signs classification with a convolutional network
- Traffic signs classification with a convolutional network
- 1
- 2
- Traffic signs classification with a convolutional network
- Traffic signs classification with a convolutional network
- input
- output
- imgaug: Image augmentation for machine learning experiments.
- output
- nltk
- Q&A With Job Salary Prediction First Prize Winner Vlad Mnih
- sklearn
- Is That a Duplicate Quora Question?
- sklearn
- Is That a Duplicate Quora Question?
- gensim
- Is That a Duplicate Quora Question?
- Do-it-yourself NLP for bot developers
- Document Classification with scikit-learn
- 特征工程到底是什么？(in Chinese)
- input
- Image augmentation for machine learning experiments.
- Tips & Tricks for Feature Engineering / Applied Machine Learning
- Data Wrangling with Pandas
- A Rubric for Data Wrangling and Exploration
- Is That a Duplicate Quora Question?
